What is the TeleAI Video Generation Large Model?
The TeleAI Video Generation Large Model is a video generation model launched by China Telecom AI Research Institute, based on a two-stage generation framework: first creating storyboard sketches based on text descriptions, then generating videos based on the sketches. The TeleAI Video Generation Large Model can ensure consistency in the appearance of subjects in videos, precisely control actions and appearances, achieve smooth transitions in complex scenes and actions, and follow physical laws and common sense. VAST technology performs excellently in multiple dimensions of video generation quality, especially in subject consistency and adherence to physical laws. In the VBench test, it achieved full marks in both human action and object classification metrics, providing strong technical support for AI short drama creation.
Main functions of the TeleAI Video Generation Large Model
- Video generation: Generate video content based on text descriptions while maintaining consistency in the appearance of subjects.
- Storyboard drawing: Convert text descriptions into storyboards containing key information such as character poses and scene distribution.
- Precise control: Control the position, actions, and appearance of subjects in videos to achieve precise simulation of complex actions.
- Adherence to physical laws: Ensure that actions and object movements in videos conform to physical laws and avoid distortion and deformation.
- Multi-scene continuity: Maintain consistency in the appearance of target subjects across multiple scenes and achieve smooth transitions between scenes.
Technical principles of the TeleAI Video Generation Large Model
- VAST technology: The TeleAI Video Generation Large Model adopts the "VAST (Video As Storyboard from Text) two-stage video generation technology." Through text descriptions, it precisely outlines a "Storyboard" containing key information such as video composition, subject target positions, and character poses, and then generates the corresponding video content.
- Appearance consistency and action control: Thanks to VAST technology, the Video Generation Large Model can ensure consistency in the appearance of single or multiple main characters across video clips, achieve precise control of complex actions and interactive actions, and make the movements of characters and target objects conform to physical laws.
- Full-stack large model capabilities: Through full-stack large model capabilities such as semantics, speech, text-to-image, and text-to-video, the TeleAI Video Generation Large Model connects all stages of short drama and film production, covering the entire process from writing text scripts, drawing storyboard scripts, video shooting and editing, to dubbing and sound effect synthesis, achieving cost reduction and efficiency improvement.
-
Two-stage generation framework: TeleAI's video model uses a two-stage generation framework - first drawing storyboards, then generating videos - significantly improving the controllability of the short drama creation process. The first stage converts text descriptions into a series of storyboards, and the second stage generates video footage based on these storyboards, ensuring that every move in attack and defense is accurate and in place, and that martial arts scenes both conform to physical laws and are highly watchable.
Application scenarios of the TeleAI Video Generation Large Model
- Film and television production: Generate preliminary edited versions of movies or TV dramas, especially in the production of special effects scenes, reducing live-action costs and risks and improving production efficiency.
- Advertising industry: In advertising production, quickly customize dynamic advertising content based on product characteristics, achieve rapid prototype design and testing of advertising creativity, and adapt to market changes.
- Education and training: Create simulated scenarios for safety education and emergency drills, and produce instructional videos, such as scientific experiments, historical reenactments, etc., to improve the interactivity and fun of education.
- Game Development: In game development, generate dynamic in-game plots and cutscenes to help game designers rapidly prototype and test game storylines and character interactions.
- News and Reporting: Rapidly generate news report videos to improve the efficiency of news production, while also producing news background videos to enhance the visual effects and information delivery of reports.